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naranmunkh

Timely MCP Server

by naranmunkh

timely_overview_attd

Generate a company attendance report between two dates, showing per-employee details like worked hours, late, absent, leave, overtime, and vacation. Supports pagination and department filtering.

Instructions

Company-wide attendance report between two dates. Returns per-employee attendance detail (worked days/hours, late, absent, leave, overtime, vacation, etc.) with pagination. Set div_id to a department id, or '0' for all departments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_registerNo7-digit company register. Falls back to TIMELY_COMPANY_REGISTER.
div_idNoDepartment id; '0' (default) = all departments.
dateFromYesStart date, e.g. 2023-01-01
dateToYesEnd date, e.g. 2023-01-31
pageNoPage number (optional).
limitNoEmployees per page (optional).
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses the output (attendance details, pagination) but does not mention read-only nature, authorization needs, or rate limits. It is adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two concise sentences: first stating purpose and output, second providing parameter guidance. It is front-loaded and every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description explains the returned data (worked days/hours, late, absent, etc.) and pagination. It covers core functionality but omits response format and error conditions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with each parameter described. The description adds only minor rephrasing (e.g., div_id usage) and no new semantic details beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is a company-wide attendance report between two dates, returning per-employee details with pagination. It differentiates from sibling tools by specifying the company-wide scope and listing specific attendance metrics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on the div_id parameter (set to department id or '0' for all departments) and implies usage for generating overall attendance reports. However, it does not directly contrast with sibling tools like timely_employee_attd.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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